教師資料查詢 | 類別: 期刊論文 | 教師: 劉寅春 Peter Liu (瀏覽個人網頁)

標題:Fuzzy Virtual Reference Model Sensorless Tracking Control for Linear Induction Motors
學年101
學期2
出版(發表)日期2013/06/01
作品名稱Fuzzy Virtual Reference Model Sensorless Tracking Control for Linear Induction Motors
作品名稱(其他語言)
著者Hung, Cheng-yao; Liu, Peter; Lian, Kuang-yow
單位淡江大學電機工程學系
出版者Piscataway: Institute of Electrical and Electronics Engineers
著錄名稱、卷期、頁數IEEE Transactions on Cybernetics 43(3), pp.970-981
摘要This paper introduces a fuzzy virtual reference model (FVRM) synthesis method for linear induction motor (LIM) speed sensorless tracking control. First, we represent the LIM as a T-S fuzzy model. Second, we estimate the immeasurable mover speed and secondary flux by a fuzzy observer. Third, to convert the speed tracking control into a stabilization problem, we define the internal desired states for state tracking via an FVRM. Finally, by solving a set of linear matrix inequalities (LMIs), we obtain the observer gains and the control gains where exponential convergence is guaranteed. The contributions of the approach in this paper are three folds: i) simplified approach -- speed tracking problem converted to stabilization problem; ii)
omit need of actual reference model -- fuzzy virtual reference model generates internal desired states; and iii) unification of controller and observer design -- control objectives are formulated into LMI problem where powerful numerical toolboxes solve controller and observer gains. Finally, experiments are carried out to verify the theoretical results and show satisfactory performance both in transient response and robustness.
關鍵字Observers;Induction motors;Mathematical model;Force;Fuzzy logic;Tracking
語言英文(美國)
ISSN2168-2267;2168-2275
期刊性質國外
收錄於SCI;EI;
產學合作
通訊作者Liu, Peter
審稿制度
國別美國
公開徵稿
出版型式,電子版,紙本
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